Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15
Published: Oct. 30, 2024
The competition between intra-row weeds and cultivated vegetables for nutrients is a major contributor crop yield reduction. Compared with manual weeding, intelligent robots can improve the efficiency of weeding operations.
Language: Английский
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: May 15, 2024
Abstract Laser weeding may contribute to less dependency on herbicides and soil tillage. Several research commercial projects are underway develop robots equipped with lasers control weeds. Artificial intelligence can be used locate identify weed plants, mirrors direct a laser beam towards the target kill it heat. Unlike chemical mechanical control, only exposes tiny part of field for treatment. leaves behind ashes from burned plants does not disturb soil. Therefore, is an eco-friendly method seedlings. However, perennial weeds regrow belowground parts after destroys aerial shoots. Depletion resources might possible if continuously kills new shoots, but require many treatments. We studied how could destroy widespread aggressive Elymus repens rhizomes were cut into fragments. Plants killed even small dosages energy stopped regrowing. Generally, highest efficacy was achieved when treated at 3-leaf stage.
Language: Английский
Citations
8
Agriculture, Journal Year: 2024, Volume and Issue: 14(6), P. 910 - 910
Published: June 8, 2024
In recent years, rapeseed oil has received considerable attention in the agricultural sector, experiencing appreciable growth. However, weed-related challenges are hindering expansion of production. This paper outlines development an intelligent weed detection and laser weeding system—a non-chemical precision protection method Veronica didyma winter fields Yangtze River Basin. A total 234 images were obtained to compile a database for deep-learning model, YOLOv7 was used as model training. The effectiveness demonstrated, with final accuracy 94.94%, recall 95.65%, [email protected] 0.972 obtained. Subsequently, parallel-axis binocular cameras selected image acquisition platform, calibration semi-global block matching locate within cultivation box, yielding minimum confidence camera height values 70% 30 cm, respectively. system then built, experimental results indicated that practicable 100 W power 80 mm/s scanning speed, resulting visibly lost activity no resprouting 15 days weeding. successful execution provides new reference holds promise its practical application settings.
Language: Английский
Citations
5
Agronomy, Journal Year: 2025, Volume and Issue: 15(5), P. 1015 - 1015
Published: April 23, 2025
The development of precise and sustainable agriculture has made non-chemical, highly selective laser weed control technology a hot research topic. core this lies in the overall performance targeting system, which consists three key technologies, namely, target identification, dynamic positioning, removal, are interrelated jointly determine system. In paper, technologies system systematically analyzed to clarify coupling relationship among their role optimization. This review compares mainstream recognition algorithms for needs weeding specific parts, reveals bottleneck existing environment, points out new directions, such as developing apical growth zone algorithms. influence beam on accuracy is analyzed, advantages vibroseis explored, applicability problems farmland environments revealed, shift irradiation point caused by ground undulation. laws parameter optimization summarized, guiding optimal design Through systematic summary in-depth analysis related research, challenges facing technology. It provides prospective outlook future direction, aiming promote terms high efficiency, precision, intelligence.
Language: Английский
Citations
0
AgriEngineering, Journal Year: 2024, Volume and Issue: 6(3), P. 3279 - 3296
Published: Sept. 11, 2024
Weeds are one of the primary concerns in agriculture since they compete with crops for nutrients and water, also attract insects pests are, therefore, hindering crop yield. Moreover, seasonal labour shortages necessitate automation such agricultural tasks using machines. For this reason, advances robotics have led to many attempts produce autonomous machines that aim address task weeding both effectively efficiently. Some these implementing chemical-based methods herbicides. The challenge is targeted delivery herbicide so environmental impact chemical minimised. However, drive robots away from use increasingly utilise mechanical tools or even laser-based devices. In case, development application effective tools. This paper reviews progress made field during last decade. Trends period identified, current state-of-the-art works highlighted. Finally, examines areas where technological solutions still lacking, recommendations on future directions made.
Language: Английский
Citations
2
Sensors, Journal Year: 2024, Volume and Issue: 24(20), P. 6743 - 6743
Published: Oct. 20, 2024
The challenges and drawbacks of manual weeding herbicide usage, such as inefficiency, high costs, time-consuming tasks, environmental pollution, have led to a shift in the agricultural industry toward digital agriculture. utilization advanced robotic technologies process serves prominent symbolic proof innovations under umbrella Typically, consists three primary phases: sensing, thinking, acting. Among these stages, sensing has considerable significance, which resulted development sophisticated technology. present study specifically examines variety image-based systems, RGB, NIR, spectral, thermal cameras. Furthermore, it discusses non-imaging including lasers, seed mapping, LIDAR, ToF, ultrasonic systems. Regarding benefits, we can highlight reduced expenses zero water soil pollution. As for obstacles, point out significant initial investment, limited precision, unfavorable circumstances, well scarcity professionals subject knowledge. This intends address advantages associated with each technologies. Moreover, technical remarks solutions explored this investigation provide straightforward framework future studies by both scholars administrators context weeding.
Language: Английский
Citations
2
Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15
Published: Oct. 30, 2024
The competition between intra-row weeds and cultivated vegetables for nutrients is a major contributor crop yield reduction. Compared with manual weeding, intelligent robots can improve the efficiency of weeding operations.
Language: Английский
Citations
0